In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Biomedical engineers at Duke University have developed a new method to improve the effectiveness of machine learning models. By pairing two machine learning models, one to gather data and one to ...

Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

The PG Level Advanced Certification Programme in Applied Data Science & Machine Learning is a collaboration between IITM ...